AI/ML Software Engineer Intern (Summer 2027 - 8-Months - Masters - QVS)

Electronic Arts is seeking 2 x AI/ML Software Engineer Co-op Masters students to join their Quality Verification and Standards (QVS) team. The successful candidates will assist with experimental Research and Development (R&D) work within EA's Sports Quality Verification Engineering organization, focusing on Machine Learning and Artificial Intelligence.

Responsibilities:

• Gather use-case requirements from partner teams and organizations.
• Provide research into possible solutions, run experiments, provide proofs of concept, demonstrate results, and provide recommendations.
• Improve existing solution implementations.
• Update existing Machine Learning models and enhance data sets.
• Help productize AI/ML solutions and roll them out to partners.
• Provide documentation and gather feedback from partners.

Requirements:

• Legally authorized to work in Canada for the entire internship.
• Masters student enrolled in an accredited degree program, returning to school for at least one semester after the internship.
• Graduating in May 2028 or later.

Qualifications:

• Working towards a Master's degree in Computer Science, Artificial Intelligence, Software Engineering, or a related technical field.
• Practical experience or strong academic background in machine learning fundamentals.
• Proficiency in programming languages such as Python, C++, or C#.
• Familiarity with updating existing machine learning models and fine-tuning datasets.
• Demonstrated proficiency in agentic workflows and Large Language Model (LLM) prompts.
• Understanding of software development life cycles (SDLC) and collaborative version control tools like Git.
• Strong problem-solving and analytical skills.
• Basic knowledge or experience in gathering use-case requirements and translating them into technical specifications.
• Aptitude for technical writing and communicating findings to partner teams and stakeholders.
• Proactive mindset with a demonstrated ability to independently complete tasks and escalate technical issues.
• Creative and logical thinking skills focused on building effective and efficient tools for quality verification (QV) processes.

Benefits:

• Relocation support may be available.
• Comprehensive benefits package, including physical, emotional, financial, professional, and community well-being.